Paper Citation Record · LEDGER

Toward Optimal LLM Alignments Using Two-Player Games

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.10977.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.10977 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:50:33.275313Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T04:16:34.722174Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 551d62fe-7e2a-4275-8524-f204e3bfea55 · inbound

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers cites this paper.

Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers Toward Optimal LLM Alignments Using Two-Player Games

Reference 174

Resolution: unresolved; no resolver link, observed 2026-08-07T22:50:33.275313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cec1053-697b-454d-848e-be7376c889c7 · inbound

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming cites this paper.

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming Toward Optimal LLM Alignments Using Two-Player Games

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:00.597853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aeb746e-80aa-4229-83f4-d714ffbf2ddf · inbound

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning cites this paper.

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning Toward Optimal LLM Alignments Using Two-Player Games

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:10.671950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92b7c05b-c251-43e9-add6-a2a7765eb8ee · inbound

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs cites this paper.

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs Toward Optimal LLM Alignments Using Two-Player Games

Reference 42

Resolution: malformed identifier; arxiv_id, observed 2026-07-02T04:16:34.723934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.